{
 "metadata": {
  "name": "",
  "signature": "sha256:19f55359179ddd946d4097b419e880518a9dc2826c6835632320d8d5822eda66"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "Demo of mpld3"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "This notebook gives a brief overview of [mpld3](http://mpld3.github.io), a package which allows seamless visualization of matplotlib plots using HTML, Javascript, and the [D3js](http://d3js.org/) package.\n",
      "\n",
      "One of the nicest parts of the IPython notebook is the ability to embed figures inline with code.  For example, we can quickly create a scatter plot as so:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%matplotlib inline\n",
      "import matplotlib.pyplot as plt\n",
      "import numpy as np"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Scatter points\n",
      "fig, ax = plt.subplots()\n",
      "np.random.seed(0)\n",
      "x, y = np.random.normal(size=(2, 200))\n",
      "color, size = np.random.random((2, 200))\n",
      "\n",
      "ax.scatter(x, y, c=color, s=500 * size, alpha=0.3)\n",
      "ax.grid(color='lightgray', alpha=0.7)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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Gxxn+9FMONjejX8eDd9psOG02phcXOf/RR3zjO9/ZcNF+s9VNvhDDaHxQwlaS\ntPR1t9KzTyGeyJLOZohnYsiyglGvoclhwOnwY7c96a3lC2XM1uergVKr1fjqq0n8/rc2VIwoEOjh\n9u0vGBgo7JhH5ZGxcS6tZAm+eeKpTwbVWpWJLz/Gq5nk+I/fJj47xezCAh1tbdTrdUStiKqqFIsl\nMukYlUoBVVGwWXVImhK3z35Ia/9bjM+EMfbuQVjn8xK1AnL96bHllaVlXGXNK68P3n+og5/9YhyH\nw7slz7lQyGAxJAkGD2+jdS+PhoBvkRcRQ/V6vXi/+U0Kx44RjUapVCpoNBoMBgPNzc1rLsrl83lu\nnD3LQb9/XfF+mM7mZkbm5hgbHaW3r2/d4x6en90VIJWdw9P0pOCLoojX48DrcbBvg/NMpfPYXc/X\nVm1hYYFq1YEkPbse+j37BMHL5OQM/f0P5rtd31+pVCISiRCJpInF89TrCkajhN9nw+t14vf7HxHp\nSqXChfFpmk+8u654FwoFVpbDjH32Ic3CMKa9HmbvpNDbnNycWyLg8yGIIolYhunZeXKZHHqdFotJ\ni8OlwaD1orfGSScXGblUpuXwEaKzi/g71+5SryrquuIOkM9kydyZ44fHvvnKK/gFg0H6DiwxMTuF\nz/98xchkWSaxMsjv/qB3R4bWNkJDwHcwZrOZzs6N9SacnpzEBeg3Uawo5PUyNjjIgZ6eDf0gmwMt\nDH4us2+b2iUuxmrsPRJ6rr+dnAxjNq9ftXEtHA4/4+Njjwj4Vsnn81y/PsLoeBKFZnSGJoyGEKKo\noZStshjJIteWMOqHOHqknQMH9qLRaJidm0f2BJD0a9+AFhfmiY3ewVzKEZJnOHm0jcXlJLOxJLn6\nLOlkmrk7C+h0fq6OLBNob8Ns3oNGoyGiKMj1EhaLikqF7h4tqdRNErM+HG3NRKbm8YZansgNl8t1\nJN3aN/9MIknk2jjvHzqxY9qs9R/aRzj8FcmEcdMFrRRFYWn+Gkf77QQ3UMJip9IQ8C3yMmKo+Xye\n8ekJJsIzVGoVrEYL3a176OroQqfTIcsykzducMC9sQyCexj1erSxGOFwmJaWljWPeXh+TqcTrbmF\nyEoKv3dr5V+TqRwV3E/E8DdKuVzdsPd9D0nSUyg8mmv/+PenKAqRSIRCoUClVkHSSPeffB6vDz41\nNcPZ8+MI4l68gSNrenE2exPQSaVc5MKlMcbGP+Ob7x5mcHoO58G3njgeILy4SHr4NiG9hrHhYZpN\nKT45u0g7nkLmAAAgAElEQVTKrifQ00bQbKAyneS3X0RwZXK0Bvbg8/rRGXQ8fh8ulzxc+XIZi7XC\n8uJv+c7A/4WpkGV+aAJHezMWx+qGmGI2j6YqYnU8Ks7VSoXwxCzaSIEPDp/Cs4l2dC8ah8PBD75/\nnF/++jLhpSz+5v0bckRKpTyxyA0OHzRy7NjAS7D0xdEQ8B3OysoKn974HHOHi9A3etAb9BRyeYZn\n5hk7P8W3T7y7GgetVDBsUsAB7Fot8ZWVdQX8cXoHTjJ44V9xO61I0vNdPrIsc3M8Tc8bv/fc8UtJ\n0m66PK6iyEjS2o/KpVKJmbkZxueH0dgUTA49ok5AVaCSrHFlpELIt4c9ob04nU6Ghkb57EIUX/Np\n9IZn58LrDSaCrYdJJpb56X8/T6kJ9q1RfbJULjF89kN8+TAr5SSu9B1CNhMxocyhA53ki1EmRitk\nyk6sra1EMlO4KjZmlxOYzAasRh02sxGNdlXIDEYDzcEOslk3ycXLXPzwU37vj/4LTakmJhdnWZqP\noHdbic9EafeEqJTL1Ks18pksxXgGeSVHT7CTg++8vSPz6a1WKz/+3TNcuXKLW8Pn0Bs7cTe1rNmR\np1jMkU7NodOE+f539hMK7b7aJ4/TEPAt8iLziCuVCmcHLxB4qwub84FnZLZa6Dq0j+W5JT6/+gVv\n9h1BfE4h1Gq1VJ9SD+Tx+bndbpo7j3P9zhe8eSi46VioqqrcHAlj9x/eUkf6YNDN/Hwcm23jXeIz\nmTjd3e77dpRKJYrFIvFEnJtT13C1m9lzMoDZ8qQg12o1IgsrfHJ9AmPVwcysiUDr20jS5upru9zN\nlEqHGBr8Fe3vlO7XKAEoZDJc/9W/0hIf5HCnH6VmROuxIkoiHpsZq0VHMlEn6GrBrSokU2mqzSrl\nch6zxoHZY6FUqlJIZPC5bNisFkrl1TRNm81GZ+dbfPnhHU68G8Hf4udN5wC5XJ6VlRXCN6PoOj3E\n4yPotDqa7S587r0EDgZ2pHDDg2tTp9Nx6tQbHDiQYHR0luHRYRT10Z6YqpLBZoXTx9ro7DzzyrOP\ntostC/if/dmf8ctf/hKv18vt27e3w6YGd5mdn0NqNj8i3g/T3B5keGaQbDb71GJWT0OWZUybvJh7\n+vq5Xipy+eYghw/4MRg2JmK1Wp2bI8vUDd28dfTY85h7n66uEF988QmKsmfDN5FKJUx7+yGGR0e5\nMTdLQRQpFwsMLwzR1mrHrKwfkpEkidbOIC6vg//n7z/Bbf6Atuesr261uamrXYx+dZP+M8cBSEUj\nRL78JaHaNAcPtKKXJFaWE9gMImUZ5JpMNFpEll3URTCaDbhlIzqXhtzQOAW9hGjU4vDbqWhFVpJZ\nbI+lDDqdFvRSBxd/e4cf/bEbSZIwm01Uonn+92/+Ln0Heu8fqygKy8vLXPhykGy+sppVZJDoaG0i\nFGrbkQLodrt5+203J04o5HI58vn8I13pd1JD5u1iywL+k5/8hL/4i7/gj//4j7fDnl3Hi7yQ51cW\ncXU/PeZoCTrJ5rMoOh2VanVTi5gA6VqN0FPimmvNTxAEjrx5gvExB+evX2Bfq4bWgHvdlXxFUVha\nTjA6VyXQdZIDvYe2nMVgNpvp7vYwMTGNfwNZCLHYIqoQ4ze3b6EGmnEdexO1VmN2/iaH3/9d1LrM\nnYVlbl28Q6/PRt+hvWvaOD0Wpqn1OJVCienZabo6Nt9QQKvVYrUGWJpKEuqJIQgikS/+kzc6bSxP\n6ZE0GkrlMol4DI05i04nsTSeRNvZjdkGgl5EFATqtRqs5Dm2x81KLcbigoCAgN1nJVeskUhlMJke\nXA+SToNeqyOX9jN1Z4Y9fZ1MXhslpA/cF29FURgZGWfwzjy5qg2jow2D0YwgCJRqVeZuLiN+9Rk9\nnW4G+rt3ZC13URSx2+07ZrH1RbJlAT99+jSzs7PbYEqDx5EVGcMz0ps0Wg2qAJ39/SxdvUrnJsIS\npUqFutlMILD5kq6CILC/uwd/c5Dh29e48MsvsRuKWPQyZrMRSdJjMFoo17TEMgJ2z16OnhnA5dp4\nyONZnDhxhETiHNHoND7f+qkxicQSkdgFTAOdtJw6eT/zY+jWZZq7mlZDBJKEd18HSlcbt68PsfLx\nZbr3t6MqKlpJi81hRW/QMXIridvbh6jRMn1rgUApsOl65kajERMKOfzMDk8iFRcYaDVhsZoplkrM\np7PUahqKJS0ahw2TyYinVmByNEehQ4/FbSFVypAanuGIXoPRoKcvaKU4EaOadZKs1NGYtOSK5UcE\nHBVkBRxNHVz65FOqsSy9/v309/UDq2Gizz7/irFlHZ7ASVpMT4qzzdGEXD/AaHSe6V98wQ/ef2Nb\nv9MGm6MRA98iLzIG7rY6WUlmsDrWL51ZTORwetpxuVxMXLlCsFbbUB44wFwsxt6330YQBDKZDJVK\nBUEQMJlM9ze7PG1+6XSa2ekxMqlp9nRaUWSJYqFANF2gUsuQymVpau7l0MBxOjs7t2WrsizLZLNZ\narUagiDw7rtvcvnyLWZmLqHXB3A6/Wi1ErJcJ51eoVwOI2rimPpDdL1zGo129ZLPZDLI2ipNWg/3\nNvPX63USsRRLZSNXBkvc/GIKv78dQSijKnPY3RVSKSuuZh2CIGD1GInGIoTaOjY1B0EQ6PJ7uZkp\nMPrldd4fELE7AiwuhomnVQxaExajhaqxSr2ap6KtYZIcHBR9TI9GyZsyCKUKB0QJm01ClDRoNRp6\ngiZuRCP4/X0kk1nqdYWUmkPSaRAEkVyuRD4PmZkUYsVLf3MvfXf3ACiKwmcXrjKxYqVtz9Nz8zVa\nLb5gJ5mUlf/87VV+/P3j2DbQDnC72Sl1bF4lL0XA//qv/xrt3R/OyZMnOXPmwSLCvYL6u/V1pVJ5\nYePvae9i/tYFFJ8f0XxXlMt3exoaRIr5AlJGxd3txmKxcPCdd5i8dIk9Hg/6uzFx5a6Yi3dL1d57\nPTs/T8ZkwpqL8dtP/gcaXQmdQUQjGCmXZMolmaB/P35vCy6X6xH7VFVlemqcyPyXtAWtvP2GH6t5\n9Xzl6ur4Bl2NRDLL0FCUyx//N85VTBw58Q1aQh1YrdZNfR71ep14PM6tWzNksxVU1UixKAIqRmMV\nvV5l714TipIinV6mWKxTrSqEQk3s39/H1fExKgd7kRWFUiSKrMjcnptCdNURizWMSMTrRW5fXcJa\nd+MydaI5vpfCF1/Q1tqJRqOlUFEZH7pKJqnDbFjE096My2MnNx9Go/Eiy6s3PEm7av+9IkvrvfZ5\nPQjzCzjlFG2+/SwtRYhE6rR0HIbkIigyks6ELHmoa0VQ81iNRno9+9Gb9cQnR3AaJao6EzqjEVWt\n4rAaaa1rEAwSXr8LMSvjtJqoyTL5bJ7cQoHDXW/y1tF+lpf9qGrt/ue9uLjE6KJI1/49CJSpqXft\nFe7av8Zru9NDkf1cvHyLD759atuv/xfxulQqIQjCjrHn4dfnzp3j448/Brivl89CULehIszs7Cw/\n/OEP11zEFARhV3a62Clcu3md8cICHYf3YTA+8DayqQwL1yc5tfdN2tsepEMN37nD8Gef0Www4HO5\nnohLZ/J5xpeWWKLAgTd8dO5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Ki7KTCm1k6y7aDnxAX/9b2O1Pbq4pFDIYjYv09XXf/7/m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\nUwIHmBI4wJTAAaYEDjAlcICpAHrHmB6NaClTAAAAAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x1061ef9d0>"
       ]
      }
     ],
     "prompt_number": 2
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "A weakness quickly becomes clear, however: the embedded figure is a simple static PNG image.\n",
      "\n",
      "This is where mpld3 comes in. Using the simple ``mpld3.display()`` command, we can create a fully interactive visualization of the same plot:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import mpld3\n",
      "mpld3.display(fig)"
     ],
     "language": "python",
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        "   }(mpld3);\n",
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        "   // require.js is available: use it to load d3/mpld3\n",
        "   require.config({paths: {d3: \"https://mpld3.github.io/js/d3.v3.min\"}});\n",
        "   require([\"d3\"], function(d3){\n",
        "      window.d3 = d3;\n",
        "      mpld3_load_lib(\"https://mpld3.github.io/js/mpld3.v0.2git.js\", function(){\n",
        "         \n",
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        "      });\n",
        "    });\n",
        "}else{\n",
        "    // require.js not available: dynamically load d3 & mpld3\n",
        "    mpld3_load_lib(\"https://mpld3.github.io/js/d3.v3.min.js\", function(){\n",
        "         mpld3_load_lib(\"https://mpld3.github.io/js/mpld3.v0.2git.js\", function(){\n",
        "                 \n",
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\"el92604397660624\"});\n",
        "            })\n",
        "         });\n",
        "}\n",
        "</script>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 3,
       "text": [
        "<IPython.core.display.HTML at 0x1066aaad0>"
       ]
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Notice that as you hover over the plot, a toolbar appears in the lower left. This has tools to enable panning and zooming, and a button to reset the view once you've explored the plot.\n",
      "\n",
      "If you'd like to use mpld3 by default for every figure you generate, you can call the following command:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "mpld3.enable_notebook()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 4
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Other Plot Types"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Nearly any type of plot matplotlib can do, mpld3 can visualize as well. Below are some examples:"
     ]
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "A Histogram"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Histogram with modified axes/grid\n",
      "fig = plt.figure()\n",
      "\n",
      "ax = fig.add_subplot(111, facecolor='#EEEEEE')\n",
      "ax.grid(color='white', linestyle='solid')\n",
      "\n",
      "x = np.random.normal(size=1000)\n",
      "ax.hist(x, 30, histtype='stepfilled', fc='lightblue', alpha=0.5);"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "\n",
        "\n",
        "<style>\n",
        "\n",
        "</style>\n",
        "\n",
        "<div id=\"fig_el92604399497296623638724\"></div>\n",
        "<script>\n",
        "function mpld3_load_lib(url, callback){\n",
        "  var s = document.createElement('script');\n",
        "  s.src = url;\n",
        "  s.async = true;\n",
        "  s.onreadystatechange = s.onload = callback;\n",
        "  s.onerror = function(){console.warn(\"failed to load library \" + url);};\n",
        "  document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
        "}\n",
        "\n",
        "if(typeof(mpld3) !== \"undefined\" && mpld3._mpld3IsLoaded){\n",
        "   // already loaded: just create the figure\n",
        "   !function(mpld3){\n",
        "       \n",
        "       mpld3.draw_figure(\"fig_el92604399497296623638724\", {\"axes\": [{\"xlim\": [-3.0, 4.0], \"yscale\": \"linear\", \"axesbg\": \"#EEEEEE\", \"texts\": [], \"zoomable\": true, \"images\": [], \"xdomain\": [-3.0, 4.0], \"ylim\": [0.0, 100.0], \"paths\": [{\"edgecolor\": \"#000000\", \"facecolor\": \"#ADD8E6\", \"edgewidth\": 1.0, \"pathcodes\": [\"M\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"Z\"], \"yindex\": 1, \"coordinates\": \"data\", \"dasharray\": \"10,0\", \"zorder\": 1, \"alpha\": 0.5, \"xindex\": 0, \"data\": \"data01\", \"id\": \"el92604402861968\"}], \"sharey\": [], \"sharex\": [], \"axesbgalpha\": null, \"axes\": [{\"scale\": \"linear\", \"tickformat\": null, \"grid\": {\"color\": \"#FFFFFF\", \"alpha\": 1.0, \"dasharray\": \"10,0\", \"gridOn\": true}, \"fontsize\": 10.0, \"position\": \"bottom\", \"nticks\": 8, \"tickvalues\": null}, {\"scale\": \"linear\", \"tickformat\": null, \"grid\": {\"color\": \"#FFFFFF\", \"alpha\": 1.0, \"dasharray\": \"10,0\", \"gridOn\": true}, \"fontsize\": 10.0, \"position\": \"left\", \"nticks\": 6, \"tickvalues\": null}], \"lines\": [], \"markers\": [], \"id\": \"el92604399497424\", \"ydomain\": [0.0, 100.0], \"collections\": [], \"xscale\": \"linear\", \"bbox\": [0.125, 0.125, 0.77500000000000002, 0.77500000000000002]}], \"height\": 320.0, \"width\": 480.0, \"plugins\": [{\"type\": \"reset\"}, {\"enabled\": false, \"button\": true, \"type\": \"zoom\"}, {\"enabled\": false, \"button\": true, \"type\": \"boxzoom\"}], \"data\": {\"data01\": [[-2.994612860227619, 0.0], [-2.994612860227619, 2.0], [-2.7890932724436923, 2.0], [-2.7890932724436923, 1.0], [-2.5835736846597657, 1.0], [-2.5835736846597657, 3.0], [-2.378054096875839, 3.0], [-2.378054096875839, 1.0], [-2.1725345090919124, 1.0], [-2.1725345090919124, 6.0], [-1.967014921307986, 6.0], [-1.967014921307986, 13.0], [-1.7614953335240593, 13.0], [-1.7614953335240593, 20.0], [-1.5559757457401326, 20.0], [-1.5559757457401326, 33.0], [-1.350456157956206, 33.0], [-1.350456157956206, 32.0], [-1.1449365701722793, 32.0], [-1.1449365701722793, 48.0], [-0.9394169823883529, 48.0], [-0.9394169823883529, 71.0], [-0.7338973946044263, 71.0], [-0.7338973946044263, 53.0], [-0.5283778068204996, 53.0], [-0.5283778068204996, 81.0], [-0.32285821903657297, 81.0], [-0.32285821903657297, 68.0], [-0.11733863125264632, 68.0], [-0.11733863125264632, 94.0], [0.08818095653128033, 94.0], [0.08818095653128033, 92.0], [0.293700544315207, 92.0], [0.293700544315207, 78.0], [0.49922013209913363, 78.0], [0.49922013209913363, 71.0], [0.7047397198830603, 71.0], [0.7047397198830603, 54.0], [0.9102593076669869, 54.0], [0.9102593076669869, 54.0], [1.1157788954509131, 54.0], [1.1157788954509131, 27.0], [1.3212984832348402, 27.0], [1.3212984832348402, 32.0], [1.5268180710187664, 32.0], [1.5268180710187664, 23.0], [1.7323376588026935, 23.0], [1.7323376588026935, 16.0], [1.9378572465866197, 16.0], [1.9378572465866197, 6.0], [2.143376834370547, 6.0], [2.143376834370547, 12.0], [2.348896422154473, 12.0], [2.348896422154473, 4.0], [2.5544160099384, 4.0], [2.5544160099384, 4.0], [2.7599355977223263, 4.0], [2.7599355977223263, 0.0], [2.9654551855062534, 0.0], [2.9654551855062534, 1.0], [3.1709747732901796, 1.0], [3.1709747732901796, 0.0], [2.9654551855062534, 0.0], [2.9654551855062534, 0.0], [2.7599355977223263, 0.0], [2.7599355977223263, 0.0], [2.5544160099384, 0.0], [2.5544160099384, 0.0], [2.348896422154473, 0.0], [2.348896422154473, 0.0], [2.143376834370547, 0.0], [2.143376834370547, 0.0], [1.9378572465866197, 0.0], [1.9378572465866197, 0.0], [1.7323376588026935, 0.0], [1.7323376588026935, 0.0], [1.5268180710187664, 0.0], [1.5268180710187664, 0.0], [1.3212984832348402, 0.0], [1.3212984832348402, 0.0], [1.1157788954509131, 0.0], [1.1157788954509131, 0.0], [0.9102593076669869, 0.0], [0.9102593076669869, 0.0], [0.7047397198830603, 0.0], [0.7047397198830603, 0.0], [0.49922013209913363, 0.0], [0.49922013209913363, 0.0], [0.293700544315207, 0.0], [0.293700544315207, 0.0], [0.08818095653128033, 0.0], [0.08818095653128033, 0.0], [-0.11733863125264632, 0.0], [-0.11733863125264632, 0.0], [-0.32285821903657297, 0.0], [-0.32285821903657297, 0.0], [-0.5283778068204996, 0.0], [-0.5283778068204996, 0.0], [-0.7338973946044263, 0.0], [-0.7338973946044263, 0.0], [-0.9394169823883529, 0.0], [-0.9394169823883529, 0.0], [-1.1449365701722793, 0.0], [-1.1449365701722793, 0.0], [-1.350456157956206, 0.0], [-1.350456157956206, 0.0], [-1.5559757457401326, 0.0], [-1.5559757457401326, 0.0], [-1.7614953335240593, 0.0], [-1.7614953335240593, 0.0], [-1.967014921307986, 0.0], [-1.967014921307986, 0.0], [-2.1725345090919124, 0.0], [-2.1725345090919124, 0.0], [-2.378054096875839, 0.0], [-2.378054096875839, 0.0], [-2.5835736846597657, 0.0], [-2.5835736846597657, 0.0], [-2.7890932724436923, 0.0], [-2.7890932724436923, 0.0]]}, \"id\": \"el92604399497296\"});\n",
        "   }(mpld3);\n",
        "}else if(typeof define === \"function\" && define.amd){\n",
        "   // require.js is available: use it to load d3/mpld3\n",
        "   require.config({paths: {d3: \"https://mpld3.github.io/js/d3.v3.min\"}});\n",
        "   require([\"d3\"], function(d3){\n",
        "      window.d3 = d3;\n",
        "      mpld3_load_lib(\"https://mpld3.github.io/js/mpld3.v0.2git.js\", function(){\n",
        "         \n",
        "         mpld3.draw_figure(\"fig_el92604399497296623638724\", {\"axes\": [{\"xlim\": [-3.0, 4.0], \"yscale\": \"linear\", \"axesbg\": \"#EEEEEE\", \"texts\": [], \"zoomable\": true, \"images\": [], \"xdomain\": [-3.0, 4.0], \"ylim\": [0.0, 100.0], \"paths\": [{\"edgecolor\": \"#000000\", \"facecolor\": \"#ADD8E6\", \"edgewidth\": 1.0, \"pathcodes\": [\"M\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"Z\"], \"yindex\": 1, \"coordinates\": \"data\", \"dasharray\": \"10,0\", \"zorder\": 1, \"alpha\": 0.5, \"xindex\": 0, \"data\": \"data01\", \"id\": \"el92604402861968\"}], \"sharey\": [], \"sharex\": [], \"axesbgalpha\": null, \"axes\": [{\"scale\": \"linear\", \"tickformat\": null, \"grid\": {\"color\": \"#FFFFFF\", \"alpha\": 1.0, \"dasharray\": \"10,0\", \"gridOn\": true}, \"fontsize\": 10.0, \"position\": \"bottom\", \"nticks\": 8, \"tickvalues\": null}, {\"scale\": \"linear\", \"tickformat\": null, \"grid\": {\"color\": \"#FFFFFF\", \"alpha\": 1.0, \"dasharray\": \"10,0\", \"gridOn\": true}, \"fontsize\": 10.0, \"position\": \"left\", \"nticks\": 6, \"tickvalues\": null}], \"lines\": [], \"markers\": [], \"id\": \"el92604399497424\", \"ydomain\": [0.0, 100.0], \"collections\": [], \"xscale\": \"linear\", \"bbox\": [0.125, 0.125, 0.77500000000000002, 0.77500000000000002]}], \"height\": 320.0, \"width\": 480.0, \"plugins\": [{\"type\": \"reset\"}, {\"enabled\": false, \"button\": true, \"type\": \"zoom\"}, {\"enabled\": false, \"button\": true, \"type\": \"boxzoom\"}], \"data\": {\"data01\": [[-2.994612860227619, 0.0], [-2.994612860227619, 2.0], [-2.7890932724436923, 2.0], [-2.7890932724436923, 1.0], [-2.5835736846597657, 1.0], [-2.5835736846597657, 3.0], [-2.378054096875839, 3.0], [-2.378054096875839, 1.0], [-2.1725345090919124, 1.0], [-2.1725345090919124, 6.0], [-1.967014921307986, 6.0], [-1.967014921307986, 13.0], [-1.7614953335240593, 13.0], [-1.7614953335240593, 20.0], [-1.5559757457401326, 20.0], [-1.5559757457401326, 33.0], [-1.350456157956206, 33.0], [-1.350456157956206, 32.0], [-1.1449365701722793, 32.0], [-1.1449365701722793, 48.0], [-0.9394169823883529, 48.0], [-0.9394169823883529, 71.0], [-0.7338973946044263, 71.0], [-0.7338973946044263, 53.0], [-0.5283778068204996, 53.0], [-0.5283778068204996, 81.0], [-0.32285821903657297, 81.0], [-0.32285821903657297, 68.0], [-0.11733863125264632, 68.0], [-0.11733863125264632, 94.0], [0.08818095653128033, 94.0], [0.08818095653128033, 92.0], [0.293700544315207, 92.0], [0.293700544315207, 78.0], [0.49922013209913363, 78.0], [0.49922013209913363, 71.0], [0.7047397198830603, 71.0], [0.7047397198830603, 54.0], [0.9102593076669869, 54.0], [0.9102593076669869, 54.0], [1.1157788954509131, 54.0], [1.1157788954509131, 27.0], [1.3212984832348402, 27.0], [1.3212984832348402, 32.0], [1.5268180710187664, 32.0], [1.5268180710187664, 23.0], [1.7323376588026935, 23.0], [1.7323376588026935, 16.0], [1.9378572465866197, 16.0], [1.9378572465866197, 6.0], [2.143376834370547, 6.0], [2.143376834370547, 12.0], [2.348896422154473, 12.0], [2.348896422154473, 4.0], [2.5544160099384, 4.0], [2.5544160099384, 4.0], [2.7599355977223263, 4.0], [2.7599355977223263, 0.0], [2.9654551855062534, 0.0], [2.9654551855062534, 1.0], [3.1709747732901796, 1.0], [3.1709747732901796, 0.0], [2.9654551855062534, 0.0], [2.9654551855062534, 0.0], [2.7599355977223263, 0.0], [2.7599355977223263, 0.0], [2.5544160099384, 0.0], [2.5544160099384, 0.0], [2.348896422154473, 0.0], [2.348896422154473, 0.0], [2.143376834370547, 0.0], [2.143376834370547, 0.0], [1.9378572465866197, 0.0], [1.9378572465866197, 0.0], [1.7323376588026935, 0.0], [1.7323376588026935, 0.0], [1.5268180710187664, 0.0], [1.5268180710187664, 0.0], [1.3212984832348402, 0.0], [1.3212984832348402, 0.0], [1.1157788954509131, 0.0], [1.1157788954509131, 0.0], [0.9102593076669869, 0.0], [0.9102593076669869, 0.0], [0.7047397198830603, 0.0], [0.7047397198830603, 0.0], [0.49922013209913363, 0.0], [0.49922013209913363, 0.0], [0.293700544315207, 0.0], [0.293700544315207, 0.0], [0.08818095653128033, 0.0], [0.08818095653128033, 0.0], [-0.11733863125264632, 0.0], [-0.11733863125264632, 0.0], [-0.32285821903657297, 0.0], [-0.32285821903657297, 0.0], [-0.5283778068204996, 0.0], [-0.5283778068204996, 0.0], [-0.7338973946044263, 0.0], [-0.7338973946044263, 0.0], [-0.9394169823883529, 0.0], [-0.9394169823883529, 0.0], [-1.1449365701722793, 0.0], [-1.1449365701722793, 0.0], [-1.350456157956206, 0.0], [-1.350456157956206, 0.0], [-1.5559757457401326, 0.0], [-1.5559757457401326, 0.0], [-1.7614953335240593, 0.0], [-1.7614953335240593, 0.0], [-1.967014921307986, 0.0], [-1.967014921307986, 0.0], [-2.1725345090919124, 0.0], [-2.1725345090919124, 0.0], [-2.378054096875839, 0.0], [-2.378054096875839, 0.0], [-2.5835736846597657, 0.0], [-2.5835736846597657, 0.0], [-2.7890932724436923, 0.0], [-2.7890932724436923, 0.0]]}, \"id\": \"el92604399497296\"});\n",
        "      });\n",
        "    });\n",
        "}else{\n",
        "    // require.js not available: dynamically load d3 & mpld3\n",
        "    mpld3_load_lib(\"https://mpld3.github.io/js/d3.v3.min.js\", function(){\n",
        "         mpld3_load_lib(\"https://mpld3.github.io/js/mpld3.v0.2git.js\", function(){\n",
        "                 \n",
        "                 mpld3.draw_figure(\"fig_el92604399497296623638724\", {\"axes\": [{\"xlim\": [-3.0, 4.0], \"yscale\": \"linear\", \"axesbg\": \"#EEEEEE\", \"texts\": [], \"zoomable\": true, \"images\": [], \"xdomain\": [-3.0, 4.0], \"ylim\": [0.0, 100.0], \"paths\": [{\"edgecolor\": \"#000000\", \"facecolor\": \"#ADD8E6\", \"edgewidth\": 1.0, \"pathcodes\": [\"M\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"L\", \"Z\"], \"yindex\": 1, \"coordinates\": \"data\", \"dasharray\": \"10,0\", \"zorder\": 1, \"alpha\": 0.5, \"xindex\": 0, \"data\": \"data01\", \"id\": \"el92604402861968\"}], \"sharey\": [], \"sharex\": [], \"axesbgalpha\": null, \"axes\": [{\"scale\": \"linear\", \"tickformat\": null, \"grid\": {\"color\": \"#FFFFFF\", \"alpha\": 1.0, \"dasharray\": \"10,0\", \"gridOn\": true}, \"fontsize\": 10.0, \"position\": \"bottom\", \"nticks\": 8, \"tickvalues\": null}, {\"scale\": \"linear\", \"tickformat\": null, \"grid\": {\"color\": \"#FFFFFF\", \"alpha\": 1.0, \"dasharray\": \"10,0\", \"gridOn\": true}, \"fontsize\": 10.0, \"position\": \"left\", \"nticks\": 6, \"tickvalues\": null}], \"lines\": [], \"markers\": [], \"id\": \"el92604399497424\", \"ydomain\": [0.0, 100.0], \"collections\": [], \"xscale\": \"linear\", \"bbox\": [0.125, 0.125, 0.77500000000000002, 0.77500000000000002]}], \"height\": 320.0, \"width\": 480.0, \"plugins\": [{\"type\": \"reset\"}, {\"enabled\": false, \"button\": true, \"type\": \"zoom\"}, {\"enabled\": false, \"button\": true, \"type\": \"boxzoom\"}], \"data\": {\"data01\": [[-2.994612860227619, 0.0], [-2.994612860227619, 2.0], [-2.7890932724436923, 2.0], [-2.7890932724436923, 1.0], [-2.5835736846597657, 1.0], [-2.5835736846597657, 3.0], [-2.378054096875839, 3.0], [-2.378054096875839, 1.0], [-2.1725345090919124, 1.0], [-2.1725345090919124, 6.0], [-1.967014921307986, 6.0], [-1.967014921307986, 13.0], [-1.7614953335240593, 13.0], [-1.7614953335240593, 20.0], [-1.5559757457401326, 20.0], [-1.5559757457401326, 33.0], [-1.350456157956206, 33.0], [-1.350456157956206, 32.0], [-1.1449365701722793, 32.0], [-1.1449365701722793, 48.0], [-0.9394169823883529, 48.0], [-0.9394169823883529, 71.0], [-0.7338973946044263, 71.0], 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        "            })\n",
        "         });\n",
        "}\n",
        "</script>"
       ],
       "metadata": {},
       "output_type": "display_data",
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       "text": [
        "<matplotlib.figure.Figure at 0x1063b0050>"
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "Line Plots with Legend"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Draw lines\n",
      "fig, ax = plt.subplots()\n",
      "x = np.linspace(-5, 15, 1000)\n",
      "for offset in np.linspace(0, 3, 4):\n",
      "    ax.plot(x, 0.9 * np.sin(x - offset), lw=5, alpha=0.4,\n",
      "            label=\"Offset: {0}\".format(offset))\n",
      "ax.set_xlim(0, 10)\n",
      "ax.set_ylim(-1.2, 1.0)\n",
      "ax.text(5, -1.1, \"Here are some curves\", size=18, ha='center')\n",
      "ax.grid(color='lightgray', alpha=0.7)\n",
      "ax.legend()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 6,
       "text": [
        "<matplotlib.legend.Legend at 0x106306450>"
       ]
      },
      {
       "html": [
        "\n",
        "\n",
        "<style>\n",
        "\n",
        "</style>\n",
        "\n",
        "<div id=\"fig_el926043994710568773666683\"></div>\n",
        "<script>\n",
        "function mpld3_load_lib(url, callback){\n",
        "  var s = document.createElement('script');\n",
        "  s.src = url;\n",
        "  s.async = true;\n",
        "  s.onreadystatechange = s.onload = callback;\n",
        "  s.onerror = function(){console.warn(\"failed to load library \" + url);};\n",
        "  document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
        "}\n",
        "\n",
        "if(typeof(mpld3) !== \"undefined\" && mpld3._mpld3IsLoaded){\n",
        "   // already loaded: just create the figure\n",
        "   !function(mpld3){\n",
        "       \n",
        "       mpld3.draw_figure(\"fig_el926043994710568773666683\", {\"axes\": [{\"xlim\": [0.0, 10.0], \"yscale\": \"linear\", \"axesbg\": \"#FFFFFF\", \"texts\": [{\"v_baseline\": \"auto\", \"h_anchor\": \"middle\", \"color\": \"#000000\", \"text\": \"Here are some curves\", \"coordinates\": \"data\", \"zorder\": 3, \"alpha\": 1, \"fontsize\": 18.0, \"position\": [5.0, -1.1], \"rotation\": -0.0, \"id\": \"el92604399468624\"}, {\"v_baseline\": \"auto\", \"h_anchor\": \"start\", \"color\": \"#000000\", \"text\": \"Offset: 0.0\", \"coordinates\": \"axes\", \"zorder\": 1000003.0, \"alpha\": 1, \"fontsize\": 12.0, \"position\": [0.77990591397849451, 0.91129032258064513], \"rotation\": -0.0, \"id\": \"el92604398804368\"}, {\"v_baseline\": \"auto\", \"h_anchor\": \"start\", \"color\": \"#000000\", \"text\": \"Offset: 1.0\", \"coordinates\": \"axes\", \"zorder\": 1000003.0, \"alpha\": 1, \"fontsize\": 12.0, \"position\": [0.77990591397849451, 0.83198924731182788], \"rotation\": -0.0, 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        "   }(mpld3);\n",
        "}else if(typeof define === \"function\" && define.amd){\n",
        "   // require.js is available: use it to load d3/mpld3\n",
        "   require.config({paths: {d3: \"https://mpld3.github.io/js/d3.v3.min\"}});\n",
        "   require([\"d3\"], function(d3){\n",
        "      window.d3 = d3;\n",
        "      mpld3_load_lib(\"https://mpld3.github.io/js/mpld3.v0.2git.js\", function(){\n",
        "         \n",
        "         mpld3.draw_figure(\"fig_el926043994710568773666683\", {\"axes\": [{\"xlim\": [0.0, 10.0], \"yscale\": \"linear\", \"axesbg\": \"#FFFFFF\", \"texts\": [{\"v_baseline\": \"auto\", \"h_anchor\": \"middle\", \"color\": \"#000000\", \"text\": \"Here are some curves\", \"coordinates\": \"data\", \"zorder\": 3, \"alpha\": 1, \"fontsize\": 18.0, \"position\": [5.0, -1.1], \"rotation\": -0.0, \"id\": \"el92604399468624\"}, {\"v_baseline\": \"auto\", \"h_anchor\": \"start\", \"color\": \"#000000\", \"text\": \"Offset: 0.0\", \"coordinates\": \"axes\", \"zorder\": 1000003.0, \"alpha\": 1, \"fontsize\": 12.0, \"position\": [0.77990591397849451, 0.91129032258064513], \"rotation\": -0.0, \"id\": \"el92604398804368\"}, {\"v_baseline\": \"auto\", \"h_anchor\": \"start\", \"color\": \"#000000\", \"text\": \"Offset: 1.0\", \"coordinates\": \"axes\", \"zorder\": 1000003.0, \"alpha\": 1, \"fontsize\": 12.0, \"position\": [0.77990591397849451, 0.83198924731182788], \"rotation\": -0.0, \"id\": \"el92604397664272\"}, {\"v_baseline\": \"auto\", \"h_anchor\": \"start\", \"color\": \"#000000\", \"text\": \"Offset: 2.0\", \"coordinates\": \"axes\", \"zorder\": 1000003.0, \"alpha\": 1, \"fontsize\": 12.0, \"position\": [0.77990591397849451, 0.75268817204301075], \"rotation\": -0.0, \"id\": \"el92604397662800\"}, {\"v_baseline\": \"auto\", \"h_anchor\": \"start\", \"color\": \"#000000\", \"text\": \"Offset: 3.0\", \"coordinates\": \"axes\", \"zorder\": 1000003.0, \"alpha\": 1, \"fontsize\": 12.0, \"position\": [0.77990591397849451, 0.67338709677419351], \"rotation\": -0.0, \"id\": \"el92604397660816\"}], \"zoomable\": true, \"images\": [], \"xdomain\": [0.0, 10.0], \"ylim\": [-1.2, 1.0], \"paths\": [{\"edgecolor\": \"#000000\", \"facecolor\": \"#FFFFFF\", \"edgewidth\": 1.0, \"pathcodes\": [\"M\", \"L\", \"L\", \"L\", \"L\", \"Z\"], \"yindex\": 1, \"coordinates\": \"axes\", \"dasharray\": \"10,0\", \"zorder\": 1000001.0, \"alpha\": 1, \"xindex\": 0, \"data\": \"data03\", \"id\": \"el92604398804304\"}], \"sharey\": [], \"sharex\": [], \"axesbgalpha\": null, \"axes\": [{\"scale\": \"linear\", \"tickformat\": null, \"grid\": {\"color\": \"#D3D3D3\", \"alpha\": 0.7, \"dasharray\": \"2,2\", \"gridOn\": true}, \"fontsize\": 10.0, \"position\": \"bottom\", \"nticks\": 6, \"tickvalues\": null}, {\"scale\": \"linear\", \"tickformat\": null, \"grid\": {\"color\": \"#D3D3D3\", \"alpha\": 0.7, \"dasharray\": \"2,2\", \"gridOn\": true}, \"fontsize\": 10.0, \"position\": \"left\", \"nticks\": 6, \"tickvalues\": null}], \"lines\": [{\"color\": \"#0000FF\", \"yindex\": 1, \"coordinates\": \"data\", \"dasharray\": \"10,0\", \"zorder\": 2, \"alpha\": 0.4, \"xindex\": 0, \"linewidth\": 5, \"data\": \"data01\", \"id\": \"el92604398869136\"}, {\"color\": \"#007F00\", \"yindex\": 2, \"coordinates\": \"data\", \"dasharray\": \"10,0\", \"zorder\": 2, \"alpha\": 0.4, \"xindex\": 0, \"linewidth\": 5, \"data\": \"data01\", \"id\": \"el92604398866832\"}, {\"color\": \"#FF0000\", \"yindex\": 3, \"coordinates\": \"data\", \"dasharray\": \"10,0\", \"zorder\": 2, \"alpha\": 0.4, \"xindex\": 0, \"linewidth\": 5, \"data\": \"data01\", \"id\": \"el92604397708240\"}, {\"color\": \"#00BFBF\", \"yindex\": 4, \"coordinates\": \"data\", \"dasharray\": \"10,0\", \"zorder\": 2, \"alpha\": 0.4, \"xindex\": 0, \"linewidth\": 5, \"data\": \"data01\", \"id\": \"el92604397708944\"}, {\"color\": \"#0000FF\", \"yindex\": 1, \"coordinates\": \"axes\", \"dasharray\": \"10,0\", \"zorder\": 1000002.0, \"alpha\": 0.4, \"xindex\": 0, \"linewidth\": 5, \"data\": \"data02\", \"id\": \"el92604398802896\"}, {\"color\": \"#007F00\", \"yindex\": 2, \"coordinates\": \"axes\", \"dasharray\": \"10,0\", \"zorder\": 1000002.0, \"alpha\": 0.4, \"xindex\": 0, \"linewidth\": 5, \"data\": \"data02\", \"id\": \"el92604397663824\"}, {\"color\": \"#FF0000\", \"yindex\": 3, \"coordinates\": \"axes\", \"dasharray\": \"10,0\", \"zorder\": 1000002.0, \"alpha\": 0.4, \"xindex\": 0, \"linewidth\": 5, \"data\": \"data02\", \"id\": \"el92604402621584\"}, {\"color\": \"#00BFBF\", \"yindex\": 4, \"coordinates\": \"axes\", \"dasharray\": \"10,0\", \"zorder\": 1000002.0, \"alpha\": 0.4, \"xindex\": 0, \"linewidth\": 5, \"data\": \"data02\", \"id\": \"el92604397662160\"}], \"markers\": [], \"id\": \"el92604399443472\", \"ydomain\": [-1.2, 1.0], \"collections\": [], \"xscale\": \"linear\", \"bbox\": [0.125, 0.125, 0.77500000000000002, 0.77500000000000002]}], \"height\": 320.0, \"width\": 480.0, \"plugins\": [{\"type\": \"reset\"}, {\"enabled\": false, \"button\": true, \"type\": \"zoom\"}, {\"enabled\": false, \"button\": true, \"type\": \"boxzoom\"}], \"data\": {\"data02\": [[0.6903001792114694, 0.9301075268817204, 0.8508064516129031, 0.771505376344086, 0.6922043010752688], [0.7404793906810034, 0.9301075268817204, 0.8508064516129031, 0.771505376344086, 0.6922043010752688]], \"data03\": [[0.6652105734767024, 0.6397849462365592], [0.9820788530465949, 0.6397849462365592], [0.9820788530465949, 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0.882552346945934, 0.3284468111160095, -0.5276312081438994], [14.95995995995996, 0.6121588004135837, 0.8859058988815466, 0.34515519948218965, -0.5129295985563369], [14.97997997997998, 0.5988289299466847, 0.8889043905276681, 0.3617252538501402, -0.4980224130357302], [15.0, 0.5852590561414053, 0.8915466201253833, 0.37815033314397684, -0.48291562620039147]]}, \"id\": \"el92604399471056\"});\n",
        "      });\n",
        "    });\n",
        "}else{\n",
        "    // require.js not available: dynamically load d3 & mpld3\n",
        "    mpld3_load_lib(\"https://mpld3.github.io/js/d3.v3.min.js\", function(){\n",
        "         mpld3_load_lib(\"https://mpld3.github.io/js/mpld3.v0.2git.js\", function(){\n",
        "                 \n",
        "                 mpld3.draw_figure(\"fig_el926043994710568773666683\", {\"axes\": [{\"xlim\": [0.0, 10.0], \"yscale\": \"linear\", \"axesbg\": \"#FFFFFF\", \"texts\": [{\"v_baseline\": \"auto\", \"h_anchor\": \"middle\", \"color\": \"#000000\", \"text\": \"Here are some curves\", \"coordinates\": \"data\", \"zorder\": 3, \"alpha\": 1, \"fontsize\": 18.0, \"position\": [5.0, -1.1], \"rotation\": -0.0, \"id\": \"el92604399468624\"}, {\"v_baseline\": \"auto\", \"h_anchor\": \"start\", \"color\": \"#000000\", \"text\": \"Offset: 0.0\", \"coordinates\": \"axes\", \"zorder\": 1000003.0, \"alpha\": 1, \"fontsize\": 12.0, \"position\": [0.77990591397849451, 0.91129032258064513], \"rotation\": -0.0, \"id\": \"el92604398804368\"}, {\"v_baseline\": \"auto\", \"h_anchor\": \"start\", \"color\": \"#000000\", \"text\": \"Offset: 1.0\", \"coordinates\": \"axes\", \"zorder\": 1000003.0, \"alpha\": 1, \"fontsize\": 12.0, \"position\": [0.77990591397849451, 0.83198924731182788], \"rotation\": -0.0, \"id\": \"el92604397664272\"}, {\"v_baseline\": \"auto\", \"h_anchor\": \"start\", \"color\": \"#000000\", \"text\": \"Offset: 2.0\", \"coordinates\": \"axes\", \"zorder\": 1000003.0, \"alpha\": 1, \"fontsize\": 12.0, \"position\": [0.77990591397849451, 0.75268817204301075], \"rotation\": -0.0, \"id\": \"el92604397662800\"}, {\"v_baseline\": \"auto\", \"h_anchor\": \"start\", \"color\": \"#000000\", \"text\": \"Offset: 3.0\", \"coordinates\": \"axes\", \"zorder\": 1000003.0, \"alpha\": 1, \"fontsize\": 12.0, \"position\": [0.77990591397849451, 0.67338709677419351], \"rotation\": -0.0, \"id\": \"el92604397660816\"}], \"zoomable\": true, \"images\": [], \"xdomain\": [0.0, 10.0], \"ylim\": [-1.2, 1.0], \"paths\": [{\"edgecolor\": \"#000000\", \"facecolor\": \"#FFFFFF\", \"edgewidth\": 1.0, \"pathcodes\": [\"M\", \"L\", \"L\", \"L\", \"L\", \"Z\"], \"yindex\": 1, \"coordinates\": \"axes\", \"dasharray\": \"10,0\", \"zorder\": 1000001.0, \"alpha\": 1, \"xindex\": 0, \"data\": \"data03\", \"id\": \"el92604398804304\"}], \"sharey\": [], \"sharex\": [], \"axesbgalpha\": null, \"axes\": [{\"scale\": \"linear\", \"tickformat\": null, \"grid\": {\"color\": \"#D3D3D3\", \"alpha\": 0.7, \"dasharray\": \"2,2\", \"gridOn\": true}, \"fontsize\": 10.0, \"position\": \"bottom\", \"nticks\": 6, \"tickvalues\": null}, {\"scale\": \"linear\", \"tickformat\": null, \"grid\": {\"color\": \"#D3D3D3\", \"alpha\": 0.7, \"dasharray\": \"2,2\", \"gridOn\": true}, \"fontsize\": 10.0, \"position\": \"left\", \"nticks\": 6, \"tickvalues\": null}], \"lines\": [{\"color\": \"#0000FF\", \"yindex\": 1, \"coordinates\": \"data\", \"dasharray\": \"10,0\", \"zorder\": 2, \"alpha\": 0.4, \"xindex\": 0, \"linewidth\": 5, \"data\": \"data01\", \"id\": \"el92604398869136\"}, {\"color\": \"#007F00\", \"yindex\": 2, \"coordinates\": \"data\", \"dasharray\": \"10,0\", \"zorder\": 2, \"alpha\": 0.4, \"xindex\": 0, \"linewidth\": 5, \"data\": \"data01\", \"id\": \"el92604398866832\"}, {\"color\": \"#FF0000\", \"yindex\": 3, \"coordinates\": \"data\", \"dasharray\": \"10,0\", \"zorder\": 2, \"alpha\": 0.4, \"xindex\": 0, \"linewidth\": 5, \"data\": \"data01\", \"id\": \"el92604397708240\"}, {\"color\": \"#00BFBF\", \"yindex\": 4, \"coordinates\": \"data\", \"dasharray\": \"10,0\", \"zorder\": 2, \"alpha\": 0.4, \"xindex\": 0, \"linewidth\": 5, \"data\": \"data01\", \"id\": \"el92604397708944\"}, {\"color\": \"#0000FF\", \"yindex\": 1, \"coordinates\": \"axes\", \"dasharray\": \"10,0\", \"zorder\": 1000002.0, \"alpha\": 0.4, \"xindex\": 0, \"linewidth\": 5, \"data\": \"data02\", \"id\": \"el92604398802896\"}, {\"color\": \"#007F00\", \"yindex\": 2, \"coordinates\": \"axes\", \"dasharray\": \"10,0\", \"zorder\": 1000002.0, \"alpha\": 0.4, \"xindex\": 0, \"linewidth\": 5, \"data\": \"data02\", \"id\": \"el92604397663824\"}, {\"color\": \"#FF0000\", \"yindex\": 3, \"coordinates\": \"axes\", \"dasharray\": \"10,0\", \"zorder\": 1000002.0, \"alpha\": 0.4, \"xindex\": 0, \"linewidth\": 5, \"data\": \"data02\", \"id\": \"el92604402621584\"}, {\"color\": \"#00BFBF\", \"yindex\": 4, \"coordinates\": \"axes\", \"dasharray\": \"10,0\", \"zorder\": 1000002.0, \"alpha\": 0.4, \"xindex\": 0, \"linewidth\": 5, \"data\": \"data02\", \"id\": \"el92604397662160\"}], \"markers\": [], \"id\": \"el92604399443472\", \"ydomain\": [-1.2, 1.0], \"collections\": [], \"xscale\": \"linear\", \"bbox\": [0.125, 0.125, 0.77500000000000002, 0.77500000000000002]}], \"height\": 320.0, \"width\": 480.0, \"plugins\": [{\"type\": \"reset\"}, {\"enabled\": false, \"button\": true, \"type\": \"zoom\"}, {\"enabled\": false, \"button\": true, \"type\": \"boxzoom\"}], \"data\": {\"data02\": [[0.6903001792114694, 0.9301075268817204, 0.8508064516129031, 0.771505376344086, 0.6922043010752688], [0.7404793906810034, 0.9301075268817204, 0.8508064516129031, 0.771505376344086, 0.6922043010752688]], \"data03\": [[0.6652105734767024, 0.6397849462365592], [0.9820788530465949, 0.6397849462365592], 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        "            })\n",
        "         });\n",
        "}\n",
        "</script>"
       ],
       "metadata": {},
       "output_type": "display_data",
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tb38bTz75JEpLSzE8PIwzZ85g3759KC8vx9TUFDwejywMo8SXv/xlPPHEEzhw4AAEQcAT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       "text": [
        "<matplotlib.figure.Figure at 0x1063a99d0>"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "Multiple Subplots with linked axes"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# multiple subplots, shared axes\n",
      "fig, ax = plt.subplots(2, 2, figsize=(8, 6),sharex='col', sharey='row')\n",
      "fig.subplots_adjust(hspace=0.3)\n",
      "\n",
      "np.random.seed(0)\n",
      "\n",
      "for axi in ax.flat:\n",
      "    color = np.random.random(3)\n",
      "    axi.plot(np.random.random(30), lw=2, c=color)\n",
      "    axi.set_title(\"RGB = ({0:.2f}, {1:.2f}, {2:.2f})\".format(*color),\n",
      "                  size=14)\n",
      "    axi.grid(color='lightgray', alpha=0.7)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "\n",
        "\n",
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        "\n",
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        "<div id=\"fig_el926043990123686528859695\"></div>\n",
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        "if(typeof(mpld3) !== \"undefined\" && mpld3._mpld3IsLoaded){\n",
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        "   }(mpld3);\n",
        "}else if(typeof define === \"function\" && define.amd){\n",
        "   // require.js is available: use it to load d3/mpld3\n",
        "   require.config({paths: {d3: \"https://mpld3.github.io/js/d3.v3.min\"}});\n",
        "   require([\"d3\"], function(d3){\n",
        "      window.d3 = d3;\n",
        "      mpld3_load_lib(\"https://mpld3.github.io/js/mpld3.v0.2git.js\", function(){\n",
        "         \n",
        "         mpld3.draw_figure(\"fig_el926043990123686528859695\", {\"axes\": [{\"xlim\": [0.0, 30.0], \"yscale\": \"linear\", \"axesbg\": \"#FFFFFF\", \"texts\": [{\"v_baseline\": \"auto\", \"h_anchor\": \"middle\", \"color\": \"#000000\", \"text\": \"RGB = (0.55, 0.72, 0.60)\", \"coordinates\": \"axes\", \"zorder\": 3, \"alpha\": 1, \"fontsize\": 14.0, \"position\": [0.49999999999999994, 1.0343488649940262], \"rotation\": -0.0, \"id\": \"el92604402776848\"}], \"zoomable\": true, \"images\": [], \"xdomain\": [0.0, 30.0], \"ylim\": [0.0, 1.0], \"paths\": [], \"sharey\": [\"el92604402755024\"], \"sharex\": [\"el92604399045904\"], \"axesbgalpha\": null, \"axes\": [{\"scale\": \"linear\", \"tickformat\": \"\", \"grid\": {\"color\": \"#D3D3D3\", \"alpha\": 0.7, \"dasharray\": \"2,2\", \"gridOn\": true}, \"fontsize\": 10.0, \"position\": \"bottom\", \"nticks\": 7, \"tickvalues\": null}, {\"scale\": \"linear\", \"tickformat\": null, \"grid\": {\"color\": \"#D3D3D3\", \"alpha\": 0.7, 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        "      });\n",
        "    });\n",
        "}else{\n",
        "    // require.js not available: dynamically load d3 & mpld3\n",
        "    mpld3_load_lib(\"https://mpld3.github.io/js/d3.v3.min.js\", function(){\n",
        "         mpld3_load_lib(\"https://mpld3.github.io/js/mpld3.v0.2git.js\", function(){\n",
        "                 \n",
        "                 mpld3.draw_figure(\"fig_el926043990123686528859695\", {\"axes\": [{\"xlim\": [0.0, 30.0], \"yscale\": \"linear\", \"axesbg\": \"#FFFFFF\", \"texts\": [{\"v_baseline\": \"auto\", \"h_anchor\": \"middle\", \"color\": \"#000000\", \"text\": \"RGB = (0.55, 0.72, 0.60)\", \"coordinates\": \"axes\", \"zorder\": 3, \"alpha\": 1, \"fontsize\": 14.0, \"position\": [0.49999999999999994, 1.0343488649940262], \"rotation\": -0.0, \"id\": \"el92604402776848\"}], \"zoomable\": true, \"images\": [], \"xdomain\": [0.0, 30.0], \"ylim\": [0.0, 1.0], \"paths\": [], \"sharey\": [\"el92604402755024\"], \"sharex\": [\"el92604399045904\"], \"axesbgalpha\": null, \"axes\": [{\"scale\": \"linear\", \"tickformat\": \"\", \"grid\": {\"color\": \"#D3D3D3\", \"alpha\": 0.7, \"dasharray\": \"2,2\", \"gridOn\": true}, \"fontsize\": 10.0, \"position\": \"bottom\", \"nticks\": 7, \"tickvalues\": null}, {\"scale\": \"linear\", \"tickformat\": null, \"grid\": {\"color\": \"#D3D3D3\", \"alpha\": 0.7, \"dasharray\": \"2,2\", \"gridOn\": true}, \"fontsize\": 10.0, \"position\": \"left\", \"nticks\": 6, \"tickvalues\": null}], \"lines\": [{\"color\": \"#8BB699\", \"yindex\": 1, \"coordinates\": \"data\", \"dasharray\": \"10,0\", \"zorder\": 2, \"alpha\": 1, \"xindex\": 0, \"linewidth\": 2, \"data\": \"data01\", \"id\": \"el92604399010640\"}], \"markers\": [], \"id\": \"el92604398793936\", \"ydomain\": [0.0, 1.0], \"collections\": [], \"xscale\": \"linear\", \"bbox\": [0.125, 0.56304347826086953, 0.35227272727272724, 0.33695652173913049]}, {\"xlim\": [0.0, 30.0], \"yscale\": \"linear\", \"axesbg\": \"#FFFFFF\", \"texts\": [{\"v_baseline\": \"auto\", \"h_anchor\": \"middle\", \"color\": \"#000000\", \"text\": \"RGB = (0.57, 0.02, 0.62)\", \"coordinates\": \"axes\", \"zorder\": 3, \"alpha\": 1, \"fontsize\": 14.0, \"position\": [0.5, 1.0343488649940262], \"rotation\": -0.0, \"id\": \"el92604399001488\"}], \"zoomable\": true, \"images\": [], \"xdomain\": [0.0, 30.0], \"ylim\": [0.0, 1.0], \"paths\": [], \"sharey\": [\"el92604398793936\"], \"sharex\": [\"el92604399183056\"], \"axesbgalpha\": null, \"axes\": [{\"scale\": \"linear\", \"tickformat\": \"\", \"grid\": {\"color\": \"#D3D3D3\", \"alpha\": 0.7, \"dasharray\": \"2,2\", \"gridOn\": true}, \"fontsize\": 10.0, \"position\": \"bottom\", \"nticks\": 7, \"tickvalues\": null}, {\"scale\": \"linear\", \"tickformat\": \"\", \"grid\": {\"color\": \"#D3D3D3\", \"alpha\": 0.7, \"dasharray\": \"2,2\", \"gridOn\": true}, \"fontsize\": 10.0, \"position\": \"left\", \"nticks\": 6, \"tickvalues\": null}], \"lines\": [{\"color\": \"#90049D\", \"yindex\": 2, \"coordinates\": \"data\", \"dasharray\": \"10,0\", \"zorder\": 2, \"alpha\": 1, \"xindex\": 0, \"linewidth\": 2, \"data\": \"data01\", \"id\": \"el92604403550864\"}], \"markers\": [], \"id\": \"el92604402755024\", \"ydomain\": [0.0, 1.0], \"collections\": [], \"xscale\": \"linear\", \"bbox\": [0.54772727272727262, 0.56304347826086953, 0.35227272727272729, 0.33695652173913049]}, {\"xlim\": [0.0, 30.0], \"yscale\": \"linear\", \"axesbg\": \"#FFFFFF\", \"texts\": [{\"v_baseline\": \"auto\", \"h_anchor\": \"middle\", \"color\": \"#000000\", \"text\": \"RGB = (0.82, 0.10, 0.84)\", \"coordinates\": \"axes\", \"zorder\": 3, \"alpha\": 1, \"fontsize\": 14.0, \"position\": [0.49999999999999994, 1.0343488649940262], \"rotation\": -0.0, \"id\": \"el92604399416976\"}], \"zoomable\": true, \"images\": [], \"xdomain\": [0.0, 30.0], \"ylim\": [0.0, 1.0], \"paths\": [], \"sharey\": [\"el92604399183056\"], \"sharex\": [\"el92604398793936\"], \"axesbgalpha\": null, \"axes\": [{\"scale\": \"linear\", \"tickformat\": null, \"grid\": {\"color\": \"#D3D3D3\", \"alpha\": 0.7, \"dasharray\": \"2,2\", \"gridOn\": true}, \"fontsize\": 10.0, \"position\": \"bottom\", \"nticks\": 7, \"tickvalues\": null}, {\"scale\": \"linear\", \"tickformat\": null, \"grid\": {\"color\": \"#D3D3D3\", \"alpha\": 0.7, \"dasharray\": \"2,2\", \"gridOn\": true}, \"fontsize\": 10.0, \"position\": \"left\", \"nticks\": 6, \"tickvalues\": null}], \"lines\": [{\"color\": \"#D118D5\", \"yindex\": 3, \"coordinates\": \"data\", \"dasharray\": \"10,0\", \"zorder\": 2, \"alpha\": 1, \"xindex\": 0, \"linewidth\": 2, \"data\": \"data01\", \"id\": \"el92604403551440\"}], \"markers\": [], \"id\": \"el92604399045904\", \"ydomain\": [0.0, 1.0], \"collections\": [], \"xscale\": \"linear\", \"bbox\": [0.125, 0.12499999999999989, 0.35227272727272724, 0.33695652173913049]}, {\"xlim\": [0.0, 30.0], \"yscale\": \"linear\", \"axesbg\": \"#FFFFFF\", \"texts\": [{\"v_baseline\": \"auto\", \"h_anchor\": \"middle\", \"color\": \"#000000\", \"text\": \"RGB = (0.00, 0.68, 0.27)\", \"coordinates\": \"axes\", \"zorder\": 3, \"alpha\": 1, \"fontsize\": 14.0, \"position\": [0.5, 1.0343488649940262], \"rotation\": -0.0, \"id\": \"el92604399207632\"}], \"zoomable\": true, \"images\": [], \"xdomain\": [0.0, 30.0], \"ylim\": [0.0, 1.0], \"paths\": [], \"sharey\": [\"el92604399045904\"], \"sharex\": [\"el92604402755024\"], \"axesbgalpha\": null, \"axes\": [{\"scale\": \"linear\", \"tickformat\": null, \"grid\": {\"color\": \"#D3D3D3\", \"alpha\": 0.7, \"dasharray\": \"2,2\", \"gridOn\": true}, \"fontsize\": 10.0, \"position\": \"bottom\", \"nticks\": 7, \"tickvalues\": null}, {\"scale\": \"linear\", \"tickformat\": \"\", \"grid\": {\"color\": \"#D3D3D3\", \"alpha\": 0.7, \"dasharray\": \"2,2\", \"gridOn\": true}, \"fontsize\": 10.0, \"position\": \"left\", \"nticks\": 6, \"tickvalues\": null}], \"lines\": [{\"color\": \"#01AC44\", \"yindex\": 4, \"coordinates\": \"data\", \"dasharray\": \"10,0\", \"zorder\": 2, \"alpha\": 1, \"xindex\": 0, \"linewidth\": 2, \"data\": \"data01\", \"id\": \"el92604403566864\"}], \"markers\": [], \"id\": \"el92604399183056\", \"ydomain\": [0.0, 1.0], \"collections\": [], \"xscale\": \"linear\", \"bbox\": [0.54772727272727262, 0.12499999999999989, 0.35227272727272729, 0.33695652173913049]}], \"height\": 480.0, \"width\": 640.0, \"plugins\": [{\"type\": \"reset\"}, {\"enabled\": false, \"button\": true, \"type\": \"zoom\"}, {\"enabled\": false, \"button\": true, \"type\": \"boxzoom\"}], \"data\": {\"data01\": [[0.0, 0.5448831829968969, 0.6120957227224214, 0.09609840789396307, 0.7351940221225949], [1.0, 0.4236547993389047, 0.6169339968747569, 0.9764594650133958, 0.9621885451174382], [2.0, 0.6458941130666561, 0.9437480785146242, 0.4686512016477016, 0.24875314351995803], [3.0, 0.4375872112626925, 0.6818202991034834, 0.9767610881903371, 0.5761573344178369], [4.0, 0.8917730007820798, 0.359507900573786, 0.604845519745046, 0.592041931271839], [5.0, 0.9636627605010293, 0.43703195379934145, 0.7392635793983017, 0.5722519057908734], [6.0, 0.3834415188257777, 0.6976311959272649, 0.039187792254320675, 0.2230816326406183], [7.0, 0.7917250380826646, 0.06022547162926983, 0.2828069625764096, 0.952749011516985], [8.0, 0.5288949197529045, 0.6667667154456677, 0.1201965612131689, 0.44712537861762736], [9.0, 0.5680445610939323, 0.6706378696181594, 0.29614019752214493, 0.8464086724711278], [10.0, 0.925596638292661, 0.2103825610738409, 0.11872771895424405, 0.6994792753175043], [11.0, 0.07103605819788694, 0.1289262976548533, 0.317983179393976, 0.29743695085513366], [12.0, 0.08712929970154071, 0.31542835092418386, 0.41426299451466997, 0.8137978197024772], [13.0, 0.02021839744032572, 0.3637107709426226, 0.06414749634878436, 0.39650574084698464], [14.0, 0.832619845547938, 0.5701967704178796, 0.6924721193700198, 0.8811031971111616], [15.0, 0.7781567509498505, 0.43860151346232035, 0.5666014542065752, 0.5812728726358587], [16.0, 0.8700121482468192, 0.9883738380592262, 0.2653894909394454, 0.8817353618548528], [17.0, 0.978618342232764, 0.10204481074802807, 0.5232480534666997, 0.6925315900777659], [18.0, 0.7991585642167236, 0.2088767560948347, 0.09394051075844168, 0.7252542798196405], [19.0, 0.46147936225293185, 0.16130951788499626, 0.5759464955561793, 0.5013243819267023], [20.0, 0.7805291762864555, 0.6531083254653984, 0.9292961975762141, 0.9560836347232239], [21.0, 0.11827442586893322, 0.2532916025397821, 0.31856895245132366, 0.6439901992296374], [22.0, 0.6399210213275238, 0.4663107728563063, 0.6674103799636817, 0.4238550485581797], [23.0, 0.1433532874090464, 0.24442559200160274, 0.13179786240439217, 0.6063932141279244], [24.0, 0.9446689170495839, 0.15896958364551972, 0.7163272041185655, 0.019193198309333526], [25.0, 0.5218483217500717, 0.11037514116430513, 0.2894060929472011, 0.30157481667454933], [26.0, 0.4146619399905236, 0.6563295894652734, 0.18319136200711683, 0.660173537492685], [27.0, 0.26455561210462697, 0.1381829513486138, 0.5865129348100832, 0.29007760721044407], [28.0, 0.7742336894342167, 0.1965823616800535, 0.020107546187493552, 0.6180154289988415], [29.0, 0.45615033221654855, 0.3687251706609641, 0.8289400292173631, 0.42876870094576613]]}, \"id\": \"el92604399012368\"});\n",
        "            })\n",
        "         });\n",
        "}\n",
        "</script>"
       ],
       "metadata": {},
       "output_type": "display_data",
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nd/6Ii2P9aPY2YPm8JUWNjxCC4cAYEkSAz1mDkelxhPgIQny2MdJzOciHkr/Z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0uWcoLLomLNWMm+DuS6BpSXge2d5AVAVqvNRslS9lTKqepkXJUzBwQE77TuCUsWWg41N70cgLyY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\nsnHKilOGUmflNVIuJ/fDnGIprWHlsIPXTYpSJ0TVQ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       "text": [
        "<matplotlib.figure.Figure at 0x106339a10>"
       ]
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Plugins"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "One of the key features of mpld3 is the plugin framework. Plugins are a way to specify additional interactivity for your plots. A number of plugins are built-in, and it is also possible to define new, custom plugins for nearly limitless interactive behaviors. For example, here is the built-in Linked Brushing plugin that allows exploration of multi-dimensional datasets:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from mpld3 import plugins\n",
      "\n",
      "fig, ax = plt.subplots(3, 3, figsize=(6, 6))\n",
      "fig.subplots_adjust(hspace=0.1, wspace=0.1)\n",
      "ax = ax[::-1]\n",
      "\n",
      "X = np.random.normal(size=(3, 100))\n",
      "for i in range(3):\n",
      "    for j in range(3):\n",
      "        ax[i, j].xaxis.set_major_formatter(plt.NullFormatter())\n",
      "        ax[i, j].yaxis.set_major_formatter(plt.NullFormatter())\n",
      "        points = ax[i, j].scatter(X[j], X[i])\n",
      "        \n",
      "plugins.connect(fig, plugins.LinkedBrush(points))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "\n",
        "\n",
        "<style>\n",
        "\n",
        "</style>\n",
        "\n",
        "<div id=\"fig_el926044036977446697112432\"></div>\n",
        "<script>\n",
        "function mpld3_load_lib(url, callback){\n",
        "  var s = document.createElement('script');\n",
        "  s.src = url;\n",
        "  s.async = true;\n",
        "  s.onreadystatechange = s.onload = callback;\n",
        "  s.onerror = function(){console.warn(\"failed to load library \" + url);};\n",
        "  document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
        "}\n",
        "\n",
        "if(typeof(mpld3) !== \"undefined\" && mpld3._mpld3IsLoaded){\n",
        "   // already loaded: just create the figure\n",
        "   !function(mpld3){\n",
        "       \n",
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        "   }(mpld3);\n",
        "}else if(typeof define === \"function\" && define.amd){\n",
        "   // require.js is available: use it to load d3/mpld3\n",
        "   require.config({paths: {d3: \"https://mpld3.github.io/js/d3.v3.min\"}});\n",
        "   require([\"d3\"], function(d3){\n",
        "      window.d3 = d3;\n",
        "      mpld3_load_lib(\"https://mpld3.github.io/js/mpld3.v0.2git.js\", function(){\n",
        "         \n",
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        "      });\n",
        "    });\n",
        "}else{\n",
        "    // require.js not available: dynamically load d3 & mpld3\n",
        "    mpld3_load_lib(\"https://mpld3.github.io/js/d3.v3.min.js\", function(){\n",
        "         mpld3_load_lib(\"https://mpld3.github.io/js/mpld3.v0.2git.js\", function(){\n",
        "                 \n",
        "                 mpld3.draw_figure(\"fig_el926044036977446697112432\", {\"axes\": [{\"xlim\": [-3.0, 3.0], \"yscale\": \"linear\", \"axesbg\": \"#FFFFFF\", \"texts\": [], \"zoomable\": true, \"images\": [], \"xdomain\": [-3.0, 3.0], \"ylim\": [-3.0, 3.0], \"paths\": [], \"sharey\": [], \"sharex\": [], \"axesbgalpha\": null, \"axes\": [{\"scale\": \"linear\", \"tickformat\": \"\", \"grid\": {\"gridOn\": false}, \"fontsize\": 10.0, \"position\": \"bottom\", \"nticks\": 7, \"tickvalues\": null}, {\"scale\": \"linear\", \"tickformat\": \"\", \"grid\": {\"gridOn\": false}, \"fontsize\": 10.0, \"position\": \"left\", \"nticks\": 7, \"tickvalues\": null}], \"lines\": [], \"markers\": [], \"id\": \"el92604403591248\", \"ydomain\": [-3.0, 3.0], \"collections\": [{\"paths\": [[[[0.0, -0.5], [0.13260155, -0.5], [0.25978993539242673, -0.44731684579412084], [0.3535533905932738, -0.3535533905932738], [0.44731684579412084, -0.25978993539242673], [0.5, -0.13260155], [0.5, 0.0], [0.5, 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oG9V9d1GSfHnhwoV0yXz58mUuXbqUv//++wMh6Y/CXXWZU1SrFqmOaDero9q1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En/PGXKlDwvvhR3XR48eBD16/fAvXsnMh2tgIgIK44c2ZetfLNmT2Dz5qMAugLYCCACJtMaJCTc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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x1067b1850>"
       ]
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Selecting points with the brush lets you quickly explore the relationships between the points."
     ]
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "For More Information"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "More examples, documentation, and information can be found on the [mpld3 website](http://mpld3.github.io).  See especially the [Example Gallery](http://mpld3.github.io/examples/index.html) and the [Notebook Gallery](http://mpld3.github.io/notebooks/index.html).  If you are interested in contributing, the source of mpld3 can be found on [GitHub](http://github.com/jakevdp/mpld3)."
     ]
    }
   ],
   "metadata": {}
  }
 ]
}
